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<div class="title">pcl::segmentation::grabcut::Gaussian结构体 参考</div>  </div>
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<p><a class="el" href="structpcl_1_1segmentation_1_1grabcut_1_1_gaussian.html" title="Gaussian structure">Gaussian</a> structure  
 <a href="structpcl_1_1segmentation_1_1grabcut_1_1_gaussian.html#details">更多...</a></p>

<p><code>#include &lt;<a class="el" href="grabcut__segmentation_8h_source.html">grabcut_segmentation.h</a>&gt;</code></p>
<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-attribs"></a>
Public 属性</h2></td></tr>
<tr class="memitem:af1a98d6b653238bec0752db1190a368b"><td class="memItemLeft" align="right" valign="top"><a id="af1a98d6b653238bec0752db1190a368b"></a>
<a class="el" href="structpcl_1_1segmentation_1_1grabcut_1_1_color.html">Color</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structpcl_1_1segmentation_1_1grabcut_1_1_gaussian.html#af1a98d6b653238bec0752db1190a368b">mu</a></td></tr>
<tr class="memdesc:af1a98d6b653238bec0752db1190a368b"><td class="mdescLeft">&#160;</td><td class="mdescRight">mean of the gaussian <br /></td></tr>
<tr class="separator:af1a98d6b653238bec0752db1190a368b"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a7216976d40e15117fd7f5c450d0f081f"><td class="memItemLeft" align="right" valign="top"><a id="a7216976d40e15117fd7f5c450d0f081f"></a>
Eigen::Matrix3f&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structpcl_1_1segmentation_1_1grabcut_1_1_gaussian.html#a7216976d40e15117fd7f5c450d0f081f">covariance</a></td></tr>
<tr class="memdesc:a7216976d40e15117fd7f5c450d0f081f"><td class="mdescLeft">&#160;</td><td class="mdescRight">covariance matrix of the gaussian <br /></td></tr>
<tr class="separator:a7216976d40e15117fd7f5c450d0f081f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a4dd037ad492196e9eed459f1762a4c69"><td class="memItemLeft" align="right" valign="top"><a id="a4dd037ad492196e9eed459f1762a4c69"></a>
float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structpcl_1_1segmentation_1_1grabcut_1_1_gaussian.html#a4dd037ad492196e9eed459f1762a4c69">determinant</a></td></tr>
<tr class="memdesc:a4dd037ad492196e9eed459f1762a4c69"><td class="mdescLeft">&#160;</td><td class="mdescRight">determinant of the covariance matrix <br /></td></tr>
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<tr class="memitem:a8eab0578f25643885261117e1b2e868f"><td class="memItemLeft" align="right" valign="top"><a id="a8eab0578f25643885261117e1b2e868f"></a>
Eigen::Matrix3f&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structpcl_1_1segmentation_1_1grabcut_1_1_gaussian.html#a8eab0578f25643885261117e1b2e868f">inverse</a></td></tr>
<tr class="memdesc:a8eab0578f25643885261117e1b2e868f"><td class="mdescLeft">&#160;</td><td class="mdescRight">inverse of the covariance matrix <br /></td></tr>
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<tr class="memitem:a464722f163acee0110b08eeb4c952fed"><td class="memItemLeft" align="right" valign="top"><a id="a464722f163acee0110b08eeb4c952fed"></a>
float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structpcl_1_1segmentation_1_1grabcut_1_1_gaussian.html#a464722f163acee0110b08eeb4c952fed">pi</a></td></tr>
<tr class="memdesc:a464722f163acee0110b08eeb4c952fed"><td class="mdescLeft">&#160;</td><td class="mdescRight">weighting of this gaussian in the <a class="el" href="classpcl_1_1segmentation_1_1grabcut_1_1_g_m_m.html">GMM</a>. <br /></td></tr>
<tr class="separator:a464722f163acee0110b08eeb4c952fed"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa92436d5571a19e48341798ca2f19b65"><td class="memItemLeft" align="right" valign="top"><a id="aa92436d5571a19e48341798ca2f19b65"></a>
float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structpcl_1_1segmentation_1_1grabcut_1_1_gaussian.html#aa92436d5571a19e48341798ca2f19b65">eigenvalue</a></td></tr>
<tr class="memdesc:aa92436d5571a19e48341798ca2f19b65"><td class="mdescLeft">&#160;</td><td class="mdescRight">heighest eigenvalue of covariance matrix <br /></td></tr>
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<tr class="memitem:a96d8e7d50478a2712d56437ed05e20ee"><td class="memItemLeft" align="right" valign="top"><a id="a96d8e7d50478a2712d56437ed05e20ee"></a>
Eigen::Vector3f&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structpcl_1_1segmentation_1_1grabcut_1_1_gaussian.html#a96d8e7d50478a2712d56437ed05e20ee">eigenvector</a></td></tr>
<tr class="memdesc:a96d8e7d50478a2712d56437ed05e20ee"><td class="mdescLeft">&#160;</td><td class="mdescRight">eigenvector corresponding to the heighest eigenvector <br /></td></tr>
<tr class="separator:a96d8e7d50478a2712d56437ed05e20ee"><td class="memSeparator" colspan="2">&#160;</td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">详细描述</h2>
<div class="textblock"><p><a class="el" href="structpcl_1_1segmentation_1_1grabcut_1_1_gaussian.html" title="Gaussian structure">Gaussian</a> structure </p>
</div><hr/>该结构体的文档由以下文件生成:<ul>
<li>segmentation/include/pcl/segmentation/<a class="el" href="grabcut__segmentation_8h_source.html">grabcut_segmentation.h</a></li>
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    <li class="navelem"><b>pcl</b></li><li class="navelem"><b>segmentation</b></li><li class="navelem"><b>grabcut</b></li><li class="navelem"><a class="el" href="structpcl_1_1segmentation_1_1grabcut_1_1_gaussian.html">Gaussian</a></li>
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